Publications

113 results at NeurIPS 2023

Learning the Language of NMR: Structure Elucidation from NMR spectra using Transformer Models
- - Marvin Alberts
  - Federico Zipoli
  - et al.
- 2023
- NeurIPS 2023
Simulating Iterative Human-AI Interaction in Programming with LLMs
- - Hussein Mozannar
  - Valerie Chen
  - et al.
- 2023
- NeurIPS 2023
Explaining knock-on effects of bias mitigation
- - Svetoslav Nizhnichenkov
  - Rahul Nair
  - et al.
- 2023
- NeurIPS 2023
Unveiling the Secrets of ¹H-NMR Spectroscopy: A Novel Approach Utilizing Attention Mechanisms
- - Oliver Schilter
  - Marvin Alberts
  - et al.
- 2023
- NeurIPS 2023
Probabilistic Abduction for Visual Abstract Reasoning via Learning Rules in Vector-symbolic Architectures
- - Michael Hersche
  - Francesco Di Stefano
  - et al.
- 2023
- NeurIPS 2023
Causal Markov Blanket Representation Learning for Out-of-distribution Generalization
- - Naiyu Yin
  - Hanjing Wang
  - et al.
- 2023
- NeurIPS 2023
Memory in Plain Sight: A Survey of the Uncanny Resemblances between Diffusion Models and Associative Memories
- - Benjamin Hoover
  - Hendrik Strobelt
  - et al.
- 2023
- NeurIPS 2023
Estimating Fréchet bounds for validating programmatic weak supervision
- - Felipe Maia Polo
  - Mikhail Yurochkin
  - et al.
- 2023
- NeurIPS 2023
TCNCA: Temporal Convolution Network with Chunked Attention for Scalable Sequence Processing
- - Aleksandar Terzic
  - Michael Hersche
  - et al.
- 2023
- NeurIPS 2023
Forcing Generative Models to Degenerate Ones: The Power of Data Poisoning Attacks
- - Shuli Jiang
  - Swanand Ravindra Kadhe
  - et al.
- 2023
- NeurIPS 2023